Articles liés à Outcome Prediction in Cancer
Synopsis
This book is organized into 4 sections, each looking at the question of outcome prediction in cancer from a different angle. The first section describes the clinical problem and some of the predicaments that clinicians face in dealing with cancer. Amongst issues discussed in this section are the TNM staging, accepted methods for survival analysis and competing risks. The second section describes the biological and genetic markers and the rôle of bioinformatics. Understanding of the genetic and environmental basis of cancers will help in identifying high-risk populations and developing effective prevention and early detection strategies. The third section provides technical details of mathematical analysis behind survival prediction backed up by examples from various types of cancers. The fourth section describes a number of machine learning methods which have been applied to decision support in cancer. The final section describes how information is shared within the scientific and medical communities and with the general population using information technology and the World Wide Web.
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À propos des auteurs
Azzam Taktak is a Principal Clinical Scientist in the Department of Clinical Engineering, Royal Liverpool University Hospital and an Honorary Lecturer at the University of Liverpool. His main research interests are the application of mathematical models and artificial intelligence to medical applications specifically in cancer.
Anthony Fisher is a Consultant Clinical Scientist in the Department of Clinical Engineering, Royal Liverpool University Hospital. Previously he was a Senior Lecturer in Bioengineering at the University of Strathclyde. Glasgow. His principal academic interests are biomedical instrumentation and signal processing.
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OUTCOME PREDICTION IN CANCER
Edité par
Elsevier Science, 2007
ISBN 10 : 0444528555
ISBN 13 : 9780444528551
Neuf
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Vendeur : Basi6 International, Irving, TX, Etats-Unis
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Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEJUNE24-95584
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Outcome Prediction in Cancer
Edité par
Elsevier Science, 2007
ISBN 10 : 0444528555
ISBN 13 : 9780444528551
Neuf
Couverture rigide
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Outcome Prediction in Cancer
Edité par
Elsevier Science 2006-11-28, 2006
ISBN 10 : 0444528555
ISBN 13 : 9780444528551
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Vendeur : Chiron Media, Wallingford, Royaume-Uni
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Outcome Prediction in Cancer
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. pp. xx + 461 Illus. N° de réf. du vendeur 8357297
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Outcome Prediction of Cancer
Edité par
Elsevier Science Ltd, 2007
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ISBN 13 : 9780444528551
Neuf
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 1st edition. 461 pages. 10.00x7.00x1.00 inches. In Stock. N° de réf. du vendeur __0444528555
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Outcome Prediction in Cancer
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Elsevier Science Jan 2007, 2007
ISBN 10 : 0444528555
ISBN 13 : 9780444528551
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is organized into 4 sections, each looking at the question of outcome prediction in cancer from a different angle. The first section describes the clinical problem and some of the predicaments that clinicians face in dealing with cancer. Amongst issues discussed in this section are the TNM staging, accepted methods for survival analysis and competing risks. The second section describes the biological and genetic markers and the rôle of bioinformatics. Understanding of the genetic and environmental basis of cancers will help in identifying high-risk populations and developing effective prevention and early detection strategies. The third section provides technical details of mathematical analysis behind survival prediction backed up by examples from various types of cancers. The fourth section describes a number of machine learning methods which have been applied to decision support in cancer. The final section describes how information is shared within the scientific and medical communities and with the general population using information technology and the World Wide Web. 482 pp. Englisch. N° de réf. du vendeur 9780444528551
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Outcome Prediction in Cancer
Edité par
Elsevier Science & Technology, 2007
ISBN 10 : 0444528555
ISBN 13 : 9780444528551
Neuf
Couverture rigide
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Hardback. Etat : New. New copy - Usually dispatched within 4 working days. 1010. N° de réf. du vendeur B9780444528551
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Outcome Prediction in Cancer
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. pp. xx + 461 1st Edition. N° de réf. du vendeur 26539246
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Outcome Prediction in Cancer
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. pp. xx + 461. N° de réf. du vendeur 18539236
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Outcome Prediction in Cancer
Edité par
Elsevier Science, 2007
ISBN 10 : 0444528555
ISBN 13 : 9780444528551
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is organized into 4 sections, each looking at the question of outcome prediction in cancer from a different angle. The first section describes the clinical problem and some of the predicaments that clinicians face in dealing with cancer. Amongst issues discussed in this section are the TNM staging, accepted methods for survival analysis and competing risks. The second section describes the biological and genetic markers and the rôle of bioinformatics. Understanding of the genetic and environmental basis of cancers will help in identifying high-risk populations and developing effective prevention and early detection strategies. The third section provides technical details of mathematical analysis behind survival prediction backed up by examples from various types of cancers. The fourth section describes a number of machine learning methods which have been applied to decision support in cancer. The final section describes how information is shared within the scientific and medical communities and with the general population using information technology and the World Wide Web. N° de réf. du vendeur 9780444528551
Quantité disponible : 2 disponible(s)